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Record W2050632175 · doi:10.1097/pec.0b013e3181c3c8f8

Novel Influenza A(H1N1)

2009· review· en· W2050632175 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Emergency Care · 2009
Typereview
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsChild and Family Research InstituteBC Children's Hospital
Fundersnot available
KeywordsMedicineIncidence (geometry)Flu seasonDiseasePandemicVirusInfection controlInfluenza A virusIntensive care medicinePresentation (obstetrics)PediatricsImmunologyCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)VaccinationInternal medicineSurgery

Abstract

fetched live from OpenAlex

In April 2009, a novel influenza A(H1N1) virus was identified in Mexico and has since spread rapidly worldwide. The unique genetic and antigenic features of this virus have resulted in a high incidence of infection, with an epidemiologic profile that is different from that of previous seasonal influenza infections. As a consequence, a surge of pediatric patients has been presenting to emergency departments and physician's offices across the country during this 2009-2010 flu season. This article summarizes the clinical presentation of novel influenza A(H1N1) infection and identifies patient groups who are at high risk of severe disease. It also presents guidelines from the United States Centers for Disease Control and Prevention and the World Health Organization on diagnostic testing and management of patients with H1N1 infection, including postexposure prophylaxis and identification of patients who should be vaccinated.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.951
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.182
GPT teacher head0.465
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it